Data Governance Product Owner

Must Have Technical/Functional Skills

hands-on experience in products that support data lineage, metadata, and data management

Agile and Scrum:

Proficiency in these methodologies is crucial for managing product backlogs, prioritizing features, and working with development teams.

Product Management Tools:

Familiarity with tools like Jira, Trello, or similar platforms for managing tasks, backlogs, and user stories.

Data Analysis:

The ability to interpret data, identify trends, and use this information to make product decisions.

API Basics:

Understanding how APIs work is important for integrating different systems and understanding the technical limitations and possibilities of a product.

Data Governance:

Experience with tools like Collibra, Informatica, or other data governance platforms.

Roles & Responsibilities

Product Design and Strategy:

Collaborate with the tech team to define business requirements for the EDM Metadata Hub.

Participate in backlog grooming and prioritization to ensure alignment with organizational goals.

Feature Ideation and Validation:

Contribute to the ideation of core features for metadata ingestion, management, and retrieval.

Engage with stakeholders to validate feature requirements and ensure alignment with user needs.

Requirement Definition:

Work with tech partners to gather and define requirements for the Metadata Hub, focusing on centralized metadata ingestion, management, and retrieval.

Collaborate on defining product roadmap for EDM metadata hub

Backlog Management:

Participate in backlog grooming, prioritization, and sprint planning with tech partners to align Metadata Hub delivery with product milestones.

Delivery Oversight:

Act as the product liaison to ensure tech partners deliver Metadata Hub components on schedule and according to product specifications.

Stakeholder Collaboration:

Facilitate stakeholder feedback sessions to validate Metadata Hub features and ensure they meet business requirements.